AOP1.2 Antibody

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Description

Antibody Nomenclature and Potential Misinterpretations

The term "AOP1.2" does not align with standard antibody naming conventions (e.g., WHO/IUIS guidelines). Potential sources of confusion include:

  • AOX1/2 Antibodies: Refer to antibodies targeting alternative oxidase isoforms in plants (e.g., Anti-AOX1/2, Agrisera AS04 054) involved in mitochondrial respiration .

  • APOL1 Antibodies: Target apolipoprotein L1, studied in kidney disease models .

  • Adverse Outcome Pathways (AOPs): A conceptual framework for toxicology, unrelated to antibodies .

a. APOL1-Specific Antibodies

  • Localization: Endogenous APOL1 in podocytes localizes to the endoplasmic reticulum and plasma membrane .

  • Cross-reactivity: Some commercial APOL1 antibodies cross-react with APOL2, complicating specificity .

b. AOX1/2 Antibodies in Plant Biology

  • Target: Mitochondrial alternative oxidase isoforms (AOX1 and AOX2) in Arabidopsis thaliana and crops .

  • Applications:

    • Detected at 36–40 kDa in Western blots .

    • Requires DTT for monomeric band resolution in SDS-PAGE .

c. Antibody Diversity Mechanisms

  • Gene recombination: V(D)J rearrangement generates >10¹¹ antibody variants .

  • Somatic hypermutation: Introduces point mutations in antigen-binding regions for affinity maturation .

Technical Considerations for Antibody Development

  • Paratope polymorphisms: V-gene allelic variations (e.g., IGHV1-69 residues) critically impact antigen binding .

  • Validation requirements:

    • Specificity testing (e.g., knockout controls) .

    • Epitope mapping to avoid cross-reactivity .

Emerging Antibody Therapies

  • Case study: The 7C11 monoclonal antibody, inspired by the APOE Christchurch variant, reduced tau tangles in Alzheimer’s models .

  • Key metrics:

    • Affinity: Kd5.66×1010MK_d \simeq 5.66 \times 10^{-10} \, \text{M} for high-efficacy binding .

    • Target: Disrupts ApoE-heparan sulfate interactions .

Data Gaps and Recommendations

  • Terminology clarification: "AOP1.2" may represent a typographical error or proprietary identifier not yet published.

  • Research pathways:

    • Screen databases (e.g., UniProt, ClinVar) for "AOP1.2" homologs.

    • Validate hypothetical targets using phage display or hybridoma techniques .

Product Specs

Buffer
Preservative: 0.03% ProClin 300; Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
14-16 weeks (Made-to-order)
Synonyms
AOP1.2 antibody; Probable 2-oxoglutarate-dependent dioxygenase AOP1.2 antibody; EC 1.14.11.- antibody
Target Names
AOP1.2
Uniprot No.

Target Background

Function
This antibody targets a probable 2-oxoglutarate-dependent dioxygenase potentially involved in glucosinolate biosynthesis. It may play a role in the production of aliphatic glucosinolates.
Protein Families
Iron/ascorbate-dependent oxidoreductase family

Q&A

Basic Research Questions

  • What is AOP1.2 Antibody and what is its target protein?

AOP1.2 Antibody refers to a monoclonal antibody targeting AOP1 (Antioxidant-like Protein 1), also known as PRDX3 (Peroxiredoxin 3). This protein exists in two relevant contexts in scientific literature:

  • As a 25 kDa antioxidant protein that reduces intracellular reactive oxygen species

  • As albumin-associated O-glycoprotein 1 (AOP1), a 107 kDa heavily O-glycosylated protein that forms complexes with natural antibodies

The antibody recognizes epitopes specific to these proteins, with research showing AOP1/PRDX3 plays a crucial role in mitochondrial redox regulation. The ".2" designation likely indicates a specific clone or version of the antibody.

Protein TargetMolecular WeightFunctionCellular Location
PRDX3/AOP125 kDaAntioxidant activityPrimarily mitochondrial
Albumin-associated AOP1107 kDaForms antibody complexesPlasma/serum
  • What are the recommended protocols for using AOP1.2 Antibody in Western blotting?

For optimal Western blot results with AOP1.2 Antibody:

ParameterRecommendationNotes
Antibody dilution0.25-0.5 μg/mLFor whole cell extracts (e.g., Jurkat cells)
Protein loading20-30 μg/laneMay vary by tissue type
Blocking solution5% BSA in TBSTReduces background
Incubation conditionsOvernight at 4°CImproves signal-to-noise ratio
Detection systemHRP-conjugated secondaryECL substrate recommended
Expected band size25 kDa or 107 kDaDepends on targeted AOP1 variant

When blotting for AOP1/PRDX3, non-reducing conditions may better preserve epitope structure. Research indicates that this antibody can detect AOP1 in multiple species including human, mouse, rat, hamster, monkey, chicken, and canine samples . For albumin-associated AOP1, bands at higher molecular weights may be observed due to protein complexes.

  • How should AOP1.2 Antibody be stored and handled to maintain its efficacy?

Proper storage and handling are critical for maintaining antibody activity:

Storage ConditionDurationRecommendations
-20°CLong-termDivide into small aliquots (≥20 μL)
4°CUp to 2 weeksFor immediate use only
Room temperatureHoursDuring experiment only

Research on antibody stability indicates:

  • Freeze-thaw cycles significantly reduce antibody activity; limit to ≤5 cycles

  • Adding equal volume of glycerol as cryoprotectant before freezing enhances stability

  • For concentrate products, centrifuge briefly before opening to collect solution

A study examining monoclonal antibody stability demonstrated that proper aliquoting can extend functional lifespan by preventing aggregation and maintaining epitope recognition efficiency.

  • What cross-reactivity considerations are important when using AOP1.2 Antibody across species?

Understanding cross-species reactivity is essential for comparative studies:

SpeciesReactivityApplicationsNotes
HumanHighWB, ELISA, IHCWell-characterized in multiple tissues
MouseHighWB, IFValidated in brain and kidney tissues
RatConfirmedWB, IHCShows age-dependent expression in hippocampus
PrimateConfirmedWBValuable for translational studies
Other mammalsVariableRequires validationSequence homology predicts reactivity

When planning cross-species experiments:

  • Always validate antibody specificity in each new species

  • Consider epitope conservation through sequence alignment analysis

  • Include appropriate positive controls from validated species

  • Adjust antibody concentration based on species-specific optimization

Research demonstrates that cross-reactivity predictions based on sequence homology alone are insufficient; functional validation is essential for each new species application.

  • How can researchers validate AOP1.2 Antibody specificity in experimental systems?

A comprehensive validation strategy includes:

Validation MethodApproachExpected Outcome
Genetic knockout/knockdownCRISPR or siRNAElimination/reduction of specific signal
Blocking peptidePre-incubation with immunizing peptideSignificant reduction in signal
OverexpressionTransient transfectionEnhanced signal in transfected cells
Multiple antibodiesDifferent epitopes on same proteinConsistent detection pattern
Western blotDenatured conditionsBand at expected molecular weight

Research findings emphasize that when validating antibodies:

  • Genetic approaches provide the most definitive validation

  • At least two independent validation methods should be employed

  • Validation should be performed for each new application or cell/tissue type

  • Positive and negative controls should be run in parallel

Studies of conformation-dependent antibodies highlight the importance of validation across multiple experimental conditions, as epitope recognition can vary dramatically based on protein folding states .

Advanced Research Questions

  • How can AOP1.2 Antibody be used to investigate oxidative stress mechanisms in disease models?

AOP1/PRDX3 antibodies enable detailed investigation of redox biology in multiple disease contexts:

Disease ContextResearch ApplicationKey Methodological Considerations
Neurodegenerative disordersStudying mitochondrial redox statusCombine with amyloid markers
CancerInvestigating metabolic adaptationsCompare with other peroxiredoxin family members
AgingEvaluating age-dependent expressionAge-matched controls essential
InflammationAssessing ROS-mediated signalingCo-staining with inflammatory markers
Cardiovascular diseaseAnalyzing vascular oxidative stressCorrelation with clinical parameters

Research demonstrates that AOP1/PRDX3 shows altered expression in various pathological conditions. For instance, age-dependent increases in AOP1 expression have been documented in the hippocampus, suggesting its involvement in age-related oxidative stress responses .

Methodology should include:

  • Parallel assessment of oxidative damage markers (8-OHdG, protein carbonylation)

  • Measurement of antioxidant system components (SOD, catalase)

  • Analysis of mitochondrial function parameters

  • Correlation with clinical or behavioral outcomes

  • What are the technical considerations for using AOP1.2 Antibody in co-immunoprecipitation studies?

Optimizing co-immunoprecipitation with AOP1.2 Antibody requires careful attention to:

ParameterOptimization ApproachImpact on Results
Lysis bufferTest different detergent types/concentrationsPreserves protein-protein interactions
Antibody amountTitration (1-5 μg per IP)Maximizes target recovery
Bead selectionCompare Protein A, G, or magnetic beadsOptimizes antibody capture efficiency
Incubation conditions4°C overnight vs. room temperatureBalances binding efficiency and specificity
Washing stringencyBuffer composition and wash numberReduces background while maintaining interactions

Research on albumin-associated O-glycoproteins (AOP1/AOP2) demonstrates that these proteins form complexes with anti-α-galactoside and anti-β-glucoside antibodies , highlighting the importance of buffer conditions that preserve native protein interactions.

When investigating protein complexes:

  • Use gentle lysis conditions to maintain physiological interactions

  • Consider crosslinking approaches for transient interactions

  • Include appropriate controls (IgG, pre-immune serum)

  • Validate interactions through reciprocal co-IP or alternative methods

  • How does epitope recognition by AOP1.2 Antibody vary across different protein conformational states?

Protein conformation significantly impacts antibody recognition:

Protein StateEpitope AccessibilityDetection Methods AffectedResearch Implications
Native foldedConformational epitopes exposedIP, IF, Flow cytometryBest for interaction studies
DenaturedLinear epitopes accessibleWestern blot, IHCMay detect otherwise hidden epitopes
Redox-modifiedAltered protein structureRedox-specific detectionCritical for oxidative stress research
Complex-boundPotentially masked epitopesNative PAGE, BN-PAGEImportant for complex studies

Research on conformation-dependent antibodies demonstrates that epitope recognition can be highly specific to particular protein states. Studies with fibril-specific antibodies have shown they recognize distinct assembly states of proteins while failing to detect other conformational variants .

For redox-sensitive proteins like PRDX3:

  • The reduced and oxidized forms may present different epitopes

  • Catalytic cycle intermediates might affect antibody recognition

  • Oligomerization state can influence epitope accessibility

  • Post-translational modifications may mask or reveal epitopes

  • How can AOP1.2 Antibody be applied in studying autoimmune responses?

Antibodies against AOP1 can provide insights into autoimmune mechanisms:

Research AreaApplication ApproachMethodological Considerations
Autoantibody detectionELISA, immunoprecipitationCompare with clinical parameters
Autoimmune disease modelsTissue staining for immune complex depositionCo-staining with immune cell markers
Post-infection autoimmunityTemporal monitoring of antibody responsesCorrelation with pathogen clearance
Epitope mappingPeptide arrays, competition assaysIdentifies immunodominant regions

Recent research has demonstrated intriguing relationships between viral infections and autoantibody production. Studies show that SARS-CoV-2 infection can elicit autoantibodies against apolipoprotein A-1 (AAA1), which predict COVID-19 symptom persistence . This model could be applied to investigate potential autoimmune responses against AOP1.

When studying autoimmune phenomena:

  • Include healthy control samples

  • Consider temporal dynamics of antibody responses

  • Correlate antibody levels with disease activity markers

  • Examine epitope spreading phenomena

  • What methodological approaches can improve AOP1.2 Antibody performance in immunohistochemistry and immunofluorescence?

Optimizing immunostaining protocols requires systematic refinement:

ParameterOptimization StrategyEffect on Staining Quality
Fixation methodCompare PFA, methanol, acetonePreserves epitope accessibility
Antigen retrievalTest heat-induced vs. enzymatic methodsUnmasks hidden epitopes
Blocking solutionOptimize serum type and concentrationReduces background
Antibody concentrationTitration (2-5 μg/mL recommended) Maximizes signal-to-noise ratio
Incubation timeCompare overnight vs. shorter protocolsBalances sensitivity and throughput

Research on monoclonal antibodies in tissue staining demonstrates the critical importance of proper controls:

  • Positive control tissues with known target expression

  • Negative controls using isotype-matched irrelevant antibodies

  • Absorption controls using immunizing peptide

  • Genetic knockout tissues when available

For AOP1/PRDX3 detection:

  • Mitochondrial markers can confirm subcellular localization

  • Oxidative stress models can validate functional relevance

  • Co-staining with cell-type specific markers enables population analysis

  • 3D confocal imaging may resolve submitochondrial distribution

Studies using conformation-dependent antibodies highlight the importance of fixation method selection, as different fixatives can dramatically alter epitope accessibility and recognition .

Applied Research Case Study: AOP1 Antibodies in Translational Research

A recent study examining age-dependent changes in AOP1/PRDX3 expression demonstrated significant upregulation in aged hippocampal tissue compared to young controls, suggesting enhanced antioxidant defense mechanisms with aging . Researchers used a combination of Western blotting (0.25 μg/mL antibody concentration) and immunohistochemistry (2.5 μg/mL) to characterize both total protein levels and spatial distribution within brain regions.

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